Convert audio recordings to text with AI accuracy. Transcribe interviews, meetings, lectures, and voice memos. 99% accuracy with OpenAI Whisper.
From voice recordings to accurate text in minutes
Supports MP3, WAV, M4A, FLAC, OGG, and other common formats. No conversion needed before transcription.
Transcribe multiple files at once. Drag and drop entire folders for automated processing of interview series or meeting recordings.
Live microphone dictation or upload existing recordings. Flexibility for both active recording and post-processing workflows.
Identify different speakers in multi-person recordings. Useful for interviews, meetings, and panel discussions.
Optional timestamps for each sentence or paragraph. Navigate long transcripts by jumping to specific audio positions.
Transcribe sensitive recordings locally. No cloud upload required. Perfect for confidential interviews and private content.
Audio to text transcription converts recorded speech into written format. Used for interviews, meetings, podcasts, lectures, and voice memos. Modern AI transcription achieves accuracy levels comparable to human transcriptionists at significantly lower cost and faster turnaround.
Professional applications include journalism (interview transcription), academic research (lecture and interview analysis), legal proceedings (deposition transcription), and content creation (podcast show notes).
Captures every word, including filler words (um, uh), false starts, and repetitions. Used for legal depositions, court proceedings, and qualitative research where exact wording matters. Provides complete record of spoken content.
Removes filler words, false starts, and repetitions while preserving meaning. Easier to read and more professional. Suitable for interviews, podcasts, and business meetings where clarity matters more than exact verbatim record.
Adds proper punctuation, capitalization, and formatting automatically. Modern AI models predict sentence boundaries and paragraph breaks. Produces publication-ready text requiring minimal editing.
Journalists, researchers, and podcast hosts transcribe recorded interviews. Allows focus on conversation during recording rather than note-taking. Full transcript enables accurate quoting and detailed analysis. Typical 60-minute interview produces 8,000-10,000 words.
Record business meetings, team discussions, and client calls for transcription. Creates searchable record of decisions, action items, and discussions. Valuable for teams distributed across time zones who need meeting summaries.
Researchers transcribe focus groups, interviews, and oral histories. Qualitative analysis software requires text format for coding and theme extraction. Transcription converts hours of audio into analyzable data.
Podcasters and video creators transcribe episodes for show notes, blog posts, and SEO content. Audio content becomes discoverable through search engines. Increases content value with minimal additional effort.
Transcripts make audio content accessible to deaf and hard-of-hearing audiences. Required for ADA compliance in many contexts. Also benefits non-native speakers and users who prefer reading to listening.
Record in quiet environments with minimal echo. Use directional microphones to focus on speaker. Position microphone 6-12 inches from speaker's mouth. Record in lossless formats (WAV, FLAC) when quality matters more than file size.
For remote interviews, ask participants to use headset microphones and record in quiet spaces. Consider recording locally on both ends for backup audio quality.
Review audio before transcription. Note timestamps of inaudible sections or technical issues. Prepare list of proper nouns, acronyms, or specialized terms for reference.
Use AI transcription for first pass. Modern systems like OpenAI Whisper achieve 95-99% accuracy, providing solid foundation requiring minimal editing rather than full manual transcription.
Review transcript while listening to audio. Correct misheard words, add speaker labels, and verify technical terms. Most users spend 15-30 minutes editing per hour of audio when using AI transcription.
Apply consistent formatting: speaker labels, paragraph breaks, timestamps if needed. Export in required format (TXT, DOCX, PDF, SRT for captions).
Cloud transcription services upload your audio to remote servers. This creates privacy concerns for confidential interviews, proprietary business discussions, or sensitive research data. Consider offline speech to text for sensitive content.
Offline transcription software processes locally without internet transmission. Essential for:
Local processing ensures complete control over data. No third-party access, no data retention on remote servers, no potential breach exposure.
Professional human transcription services charge $1-3 per audio minute ($60-180 per hour). Turnaround typically 24-48 hours. Accuracy near 99% with proper quality assurance.
AI transcription processes audio in minutes at fraction of the cost. Accuracy reaches 95-99% on clear audio. Requires brief editing but dramatically reduces time and expense. Ideal for high-volume transcription needs.
Hybrid approach combines AI transcription with human review. AI provides fast first draft, human editor corrects errors and adds formatting. Reduces cost by 60-80% compared to full human transcription.